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ORCIDMingu Kang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j30]Sadhana Shanmuga Sundaram
, Yugandhar Khodke, Yidong Li, Sung-Joon Jang, Sang-Seol Lee, Mingu Kang:
FreFlex: A High-Performance Processor for Convolution and Attention Computations via Sparsity-Adaptive Dynamic Frequency Boosting. IEEE J. Solid State Circuits 59(3): 855-866 (2024)- [j29]Young Kyu Lee, Dong Han Ko, Seokhee Cho, Minjune Yeo, Mingu Kang, Seong-Ook Jung:
Split WL 6T SRAM-Based Bit Serial Computing-in-Memory Macro With High Signal Margin and High Throughput. IEEE Trans. Circuits Syst. II Express Briefs 71(4): 1869-1873 (2024) - [c29]Chang Eun Song, Yidong Li, Amardeep Ramnani, Pulkit Agrawal, Purvi Agrawal, Sung-Joon Jang, Sang-Seol Lee, Tajana Rosing, Mingu Kang:
52.5 TOPS/W 1.7GHz Reconfigurable XGBoost Inference Accelerator Based on Modular-Unit-Tree with Dynamic Data and Compute Gating. CICC 2024: 1-2 - [c28]Kyu-Hyoun Kim, Mingu Kang:
Mixed-Signal Dot-Product Processor with Switched-Capacitors for Machine Learning. ICEIC 2024: 1-4 - [c27]Minjae Lee, Seongmin Park, Hyungmin Kim, Minyong Yoon, Janghwan Lee, Jun Won Choi, Nam Sung Kim, Mingu Kang, Jungwook Choi:
SPADE: Sparse Pillar-based 3D Object Detection Accelerator for Autonomous Driving. HPCA 2024: 454-467 - [c26]Chang Eun Song, Ashkan Moradifirouzabadi, Tajana Rosing, Mingu Kang:
Efficient Transformer Acceleration via Reconfiguration for Encoder and Decoder Models and Sparsity-Aware Algorithm Mapping. ISLPED 2024: 1-6 - [i13]Ashkan Moradifirouzabadi, Dodla Divya Sri, Mingu Kang:
An Analog and Digital Hybrid Attention Accelerator for Transformers with Charge-based In-memory Computing. CoRR abs/2409.04940 (2024) - [i12]Haichao Yang, Chang Eun Song, Weihong Xu, Behnam Khaleghi, Uday Mallappa, Monil Shah, Keming Fan, Mingu Kang, Tajana Rosing:
FSL-HDnn: A 5.7 TOPS/W End-to-end Few-shot Learning Classifier Accelerator with Feature Extraction and Hyperdimensional Computing. CoRR abs/2409.10918 (2024) - 2023
- [j28]Jae Eun Shim, Mingu Kang, Tae Hee Han:
NCDE: In-Network Caching for Directory Entries to Expedite Data Access in Tiled-Chip Multiprocessors. IEEE Access 11: 3080-3095 (2023) - [j27]Mingu Kang, Suntae Kim, Duksan Ryu, Jaehyuk Cho:
Which Exceptions Do We Have to Catch in the Python Code for AI Projects? Int. J. Softw. Eng. Knowl. Eng. 33(3): 375-394 (2023) - [c25]Yugandhar Khodke, Sadhana Shanmugasundaram, Yidong Li, Mingu Kang:
AI Processor with Sparsity-adaptive Real-time Dynamic Frequency Modulation for Convolutional Neural Networks and Transformers. CICC 2023: 1-2 - [c24]Mingu Kang, Heon Song, Seonwook Park, Donggeun Yoo, Sérgio Pereira:
Benchmarking Self-Supervised Learning on Diverse Pathology Datasets. CVPR 2023: 3344-3354 - [c23]Hyeonjun Yun, Hyeseon Kwon, Sangsu Yeh, Minsu Lee, Jonghwa Kim, Yunha Kim, Seungwoo Cha, Mingu Kang, Jooyeop Nam:
High-Speed Wafer Temperature Control Approach of Step Chiller for Semiconductor Manufacturing Equipment. IECON 2023: 1-6 - [c22]Ankur Agrawal, Monodeep Kar, Kyu-Hyoun Kim, Sergey V. Rylov, Jinwook Jung, Seiji Munetoh, Kohji Hosokawa, Xin Zhang, Bahman Hekmatshoartabari, Fabio Carta, Martin Cochet, Robert Casatuta, Mingu Kang, Sunil Shukla, Kailash Gopalakrishnan, Leland Chang:
A Switched-Capacitor Integer Compute Unit with Decoupled Storage and Arithmetic for Cloud AI Inference in 5nm CMOS. VLSI Technology and Circuits 2023: 1-2 - [i11]Minjae Lee, Hyungmin Kim, Seongmin Park, Minyong Yoon, Janghwan Lee, Junwon Choi, Mingu Kang, Jungwook Choi:
PillarAcc: Sparse PointPillars Accelerator for Real-Time Point Cloud 3D Object Detection on Edge Devices. CoRR abs/2305.07522 (2023) - 2022
- [j26]Mingu Kang, Sangmin Hyun, Tae Hee Han, Jungrae Kim, Seokin Hong:
On-the-Fly Lowering Engine: Offloading Data Layout Conversion for Convolutional Neural Networks. IEEE Access 10: 79730-79746 (2022) - [j25]Mingu Kang, Taeyoung Kim, Suntae Kim, Duksan Ryu:
Gradle-Autofix: An Automatic Resolution Generator for Gradle Build Error. Int. J. Softw. Eng. Knowl. Eng. 32(4): 583-603 (2022) - [j24]Shuo Shan, Yongyi Shou, Mingu Kang, Youngwon Park:
The effects of socio-technical integration on sustainability practices: a supply chain perspective. Ind. Manag. Data Syst. 122(2): 419-441 (2022) - [j23]Yutong Liu, Mingu Kang, Tae-Won Kang, Jian Du:
Supply chain planning and innovation performance: the moderated mediation effect of IT usage. Ind. Manag. Data Syst. 122(11): 2465-2484 (2022) - [j22]Sae Kyu Lee, Ankur Agrawal, Joel Silberman, Matthew M. Ziegler, Mingu Kang, Swagath Venkataramani, Nianzheng Cao, Bruce M. Fleischer, Michael Guillorn, Matthew Cohen, Silvia M. Mueller, Jinwook Oh, Martin Lutz, Jinwook Jung, Siyu Koswatta, Ching Zhou, Vidhi Zalani, Monodeep Kar, James Bonanno, Robert Casatuta, Chia-Yu Chen, Jungwook Choi, Howard Haynie, Alyssa Herbert, Radhika Jain, Kyu-Hyoun Kim, Yulong Li, Zhibin Ren, Scot Rider, Marcel Schaal, Kerstin Schelm, Michael Scheuermann, Xiao Sun, Hung Tran, Naigang Wang, Wei Wang, Xin Zhang, Vinay Shah, Brian W. Curran, Vijayalakshmi Srinivasan, Pong-Fei Lu, Sunil Shukla, Kailash Gopalakrishnan, Leland Chang:
A 7-nm Four-Core Mixed-Precision AI Chip With 26.2-TFLOPS Hybrid-FP8 Training, 104.9-TOPS INT4 Inference, and Workload-Aware Throttling. IEEE J. Solid State Circuits 57(1): 182-197 (2022) - [c21]Ji Sun Park, Mingu Kang, Sungryoul Lee, Dong-Kyu Chae:
Graph Summarization for Human-Understandable Visualization towards CVE Data Analysis. BigComp 2022: 314-317 - [c20]Zheng Li, Soroush Ghodrati, Amir Yazdanbakhsh, Hadi Esmaeilzadeh, Mingu Kang:
Accelerating attention through gradient-based learned runtime pruning. ISCA 2022: 902-915 - [c19]Amir Yazdanbakhsh, Ashkan Moradifirouzabadi, Zheng Li, Mingu Kang:
Sparse Attention Acceleration with Synergistic In-Memory Pruning and On-Chip Recomputation. MICRO 2022: 744-762 - [i10]Zheng Li, Soroush Ghodrati, Amir Yazdanbakhsh, Hadi Esmaeilzadeh, Mingu Kang:
Accelerating Attention through Gradient-Based Learned Runtime Pruning. CoRR abs/2204.03227 (2022) - [i9]Amir Yazdanbakhsh, Ashkan Moradifirouzabadi, Zheng Li, Mingu Kang:
Sparse Attention Acceleration with Synergistic In-Memory Pruning and On-Chip Recomputation. CoRR abs/2209.00606 (2022) - [i8]Mingu Kang, Heon Song, Seonwook Park, Donggeun Yoo, Sérgio Pereira:
Benchmarking Self-Supervised Learning on Diverse Pathology Datasets. CoRR abs/2212.04690 (2022) - 2021
- [j21]Mingu Kang, Taewon Kang, Xiaozhen Wang:
The Effect of Intellectual Leadership on Mass Customization: Moderated Mediation Effect of Customer Market Knowledge. IEEE Access 9: 164589-164596 (2021) - [j20]Min Tian, Baofeng Huo, Youngwon Park, Mingu Kang:
Enablers of supply chain integration: a technology-organization-environment view. Ind. Manag. Data Syst. 121(8): 1871-1895 (2021) - [j19]Mingu Kang, HyeungKyeom Kim, Suchul Lee, Seokmin Han:
Resilience against Adversarial Examples: Data-Augmentation Exploiting Generative Adversarial Networks. KSII Trans. Internet Inf. Syst. 15(11): 4105-4121 (2021) - [j18]Mingu Kang, Siho Shin, Gengjia Zhang, Jaehyo Jung, Youn Tae Kim:
Mental Stress Classification Based on a Support Vector Machine and Naive Bayes Using Electrocardiogram Signals. Sensors 21(23): 7916 (2021) - [c18]Mingu Kang, Trung Quang Tran, Seung Ju Cho, Daeyoung Kim:
CAP-GAN: Towards Adversarial Robustness with Cycle-consistent Attentional Purification. IJCNN 2021: 1-8 - [c17]Trung Quang Tran, Mingu Kang, Daeyoung Kim:
ReRankMatch: Semi-Supervised Learning with Semantics-Oriented Similarity Representation. IJCNN 2021: 1-8 - [c16]Swagath Venkataramani, Vijayalakshmi Srinivasan, Wei Wang, Sanchari Sen, Jintao Zhang, Ankur Agrawal, Monodeep Kar, Shubham Jain, Alberto Mannari, Hoang Tran, Yulong Li, Eri Ogawa, Kazuaki Ishizaki, Hiroshi Inoue, Marcel Schaal, Mauricio J. Serrano, Jungwook Choi, Xiao Sun, Naigang Wang, Chia-Yu Chen, Allison Allain, James Bonanno, Nianzheng Cao, Robert Casatuta, Matthew Cohen, Bruce M. Fleischer, Michael Guillorn, Howard Haynie, Jinwook Jung, Mingu Kang, Kyu-Hyoun Kim, Siyu Koswatta, Sae Kyu Lee, Martin Lutz, Silvia M. Mueller, Jinwook Oh, Ashish Ranjan, Zhibin Ren, Scot Rider, Kerstin Schelm, Michael Scheuermann, Joel Silberman, Jie Yang, Vidhi Zalani, Xin Zhang, Ching Zhou, Matthew M. Ziegler, Vinay Shah, Moriyoshi Ohara, Pong-Fei Lu, Brian W. Curran, Sunil Shukla, Leland Chang, Kailash Gopalakrishnan:
RaPiD: AI Accelerator for Ultra-low Precision Training and Inference. ISCA 2021: 153-166 - [c15]Jinwon Joo, Minyong Yoon, Jungwook Choi, Mingu Kang, Jong-Geon Lee, Jinin So, IlKwon Yun, Yongsuk Kwon, KyungSoo Kim:
Understanding and Reducing Weight-Load Overhead of Systolic Deep Learning Accelerators. ISOCC 2021: 413-414 - [c14]Ankur Agrawal, Sae Kyu Lee, Joel Silberman, Matthew M. Ziegler, Mingu Kang, Swagath Venkataramani, Nianzheng Cao, Bruce M. Fleischer, Michael Guillorn, Matt Cohen, Silvia M. Mueller, Jinwook Oh, Martin Lutz, Jinwook Jung, Siyu Koswatta, Ching Zhou, Vidhi Zalani, James Bonanno, Robert Casatuta, Chia-Yu Chen, Jungwook Choi, Howard Haynie, Alyssa Herbert, Radhika Jain, Monodeep Kar, Kyu-Hyoun Kim, Yulong Li, Zhibin Ren, Scot Rider, Marcel Schaal, Kerstin Schelm, Michael Scheuermann, Xiao Sun, Hung Tran, Naigang Wang, Wei Wang, Xin Zhang, Vinay Shah, Brian W. Curran, Vijayalakshmi Srinivasan, Pong-Fei Lu, Sunil Shukla, Leland Chang, Kailash Gopalakrishnan:
A 7nm 4-Core AI Chip with 25.6TFLOPS Hybrid FP8 Training, 102.4TOPS INT4 Inference and Workload-Aware Throttling. ISSCC 2021: 144-146 - [i7]Trung Quang Tran, Mingu Kang, Daeyoung Kim:
ReRankMatch: Semi-Supervised Learning with Semantics-Oriented Similarity Representation. CoRR abs/2102.06328 (2021) - [i6]Mingu Kang, Trung Quang Tran, Seung Ju Cho, Daeyoung Kim:
CAP-GAN: Towards Adversarial Robustness with Cycle-consistent Attentional Purification. CoRR abs/2102.07304 (2021) - [i5]Trung Q. Tran, Mingu Kang, Daeyoung Kim:
RankingMatch: Delving into Semi-Supervised Learning with Consistency Regularization and Ranking Loss. CoRR abs/2110.04430 (2021) - 2020
- [j17]Dong Wu, Xiaobo Wu, Haojun Zhou, Mingu Kang:
Interfirm networks and search-transfer problem: the role of geographic proximity. Ind. Manag. Data Syst. 120(5): 923-940 (2020) - [j16]Swagath Venkataramani, Xiao Sun, Naigang Wang, Chia-Yu Chen, Jungwook Choi, Mingu Kang, Ankur Agarwal, Jinwook Oh, Shubham Jain, Tina Babinsky, Nianzheng Cao, Thomas W. Fox, Bruce M. Fleischer, George Gristede, Michael Guillorn, Howard Haynie, Hiroshi Inoue, Kazuaki Ishizaki, Michael J. Klaiber, Shih-Hsien Lo, Gary W. Maier, Silvia M. Mueller, Michael Scheuermann, Eri Ogawa, Marcel Schaal, Mauricio J. Serrano, Joel Silberman, Christos Vezyrtzis, Wei Wang, Fanchieh Yee, Jintao Zhang, Matthew M. Ziegler, Ching Zhou, Moriyoshi Ohara, Pong-Fei Lu, Brian W. Curran, Sunil Shukla, Vijayalakshmi Srinivasan, Leland Chang, Kailash Gopalakrishnan:
Efficient AI System Design With Cross-Layer Approximate Computing. Proc. IEEE 108(12): 2232-2250 (2020) - [j15]Mingu Kang, Sujan K. Gonugondla, Naresh R. Shanbhag:
Deep In-Memory Architectures in SRAM: An Analog Approach to Approximate Computing. Proc. IEEE 108(12): 2251-2275 (2020) - [j14]Mingu Kang, Yongjune Kim, Ameya D. Patil, Naresh R. Shanbhag:
Deep In-Memory Architectures for Machine Learning-Accuracy Versus Efficiency Trade-Offs. IEEE Trans. Circuits Syst. I Fundam. Theory Appl. 67-I(5): 1627-1639 (2020) - [c13]Mingu Kang, Jaehyo Jung, Siho Shin, Kyeung Ho Kang, Youn Tae Kim:
Multi bio-signal based algorithm using EMD and FFT for stress analysis. ICCE 2020: 1-4 - [c12]Siho Shin, Jaehyo Jung, Mingu Kang, Kyeung Ho Kang, Youn Tae Kim:
Electromyogram-based algorithm using bagged trees for biometric person authentication and motion recognition. ICCE 2020: 1-4 - [c11]Jinwook Oh, Sae Kyu Lee, Mingu Kang, Matthew M. Ziegler, Joel Silberman, Ankur Agrawal, Swagath Venkataramani, Bruce M. Fleischer, Michael Guillorn, Jungwook Choi, Wei Wang, Silvia M. Mueller, Shimon Ben-Yehuda, James Bonanno, Nianzheng Cao, Robert Casatuta, Chia-Yu Chen, Matt Cohen, Ophir Erez, Thomas W. Fox, George Gristede, Howard Haynie, Vicktoria Ivanov, Siyu Koswatta, Shih-Hsien Lo, Martin Lutz, Gary W. Maier, Alex Mesh, Yevgeny Nustov, Scot Rider, Marcel Schaal, Michael Scheuermann, Xiao Sun, Naigang Wang, Fanchieh Yee, Ching Zhou, Vinay Shah, Brian W. Curran, Vijayalakshmi Srinivasan, Pong-Fei Lu, Sunil Shukla, Kailash Gopalakrishnan, Leland Chang:
A 3.0 TFLOPS 0.62V Scalable Processor Core for High Compute Utilization AI Training and Inference. VLSI Circuits 2020: 1-2 - [i4]Seung Ju Cho, Tae Joon Jun, Mingu Kang, Daeyoung Kim:
Applying Tensor Decomposition to image for Robustness against Adversarial Attack. CoRR abs/2002.12913 (2020)
2010 – 2019
- 2019
- [j13]Mingu Kang, Prakalp Srivastava, Vikram S. Adve, Nam Sung Kim, Naresh R. Shanbhag:
An Energy-Efficient Programmable Mixed-Signal Accelerator for Machine Learning Algorithms. IEEE Micro 39(5): 64-72 (2019) - [c10]Ameya D. Patil, Haocheng Hua, Sujan K. Gonugondla, Mingu Kang, Naresh R. Shanbhag:
An MRAM-Based Deep In-Memory Architecture for Deep Neural Networks. ISCAS 2019: 1-5 - 2018
- [j12]Mingu Kang, Sungmin Lim, Sujan K. Gonugondla, Naresh R. Shanbhag:
An In-Memory VLSI Architecture for Convolutional Neural Networks. IEEE J. Emerg. Sel. Topics Circuits Syst. 8(3): 494-505 (2018) - [j11]Yongyi Shou, Wenjin Hu, Mingu Kang, Ying Li, Youngwon Park:
Risk management and firm performance: the moderating role of supplier integration. Ind. Manag. Data Syst. 118(7): 1327-1344 (2018) - [j10]Mingu Kang, Kihyun Park, Ma Ga (Mark) Yang, Mark H. Haney:
Supply chain integration and coordination for international sourcing in the context of China's processing trade. Ind. Manag. Data Syst. 118(9): 1730-1748 (2018) - [j9]Mingu Kang, Ma Ga (Mark) Yang, Youngwon Park, Baofeng Huo:
Supply chain integration and its impact on sustainability. Ind. Manag. Data Syst. 118(9): 1749-1765 (2018) - [j8]Mingu Kang, Sujan K. Gonugondla, Ameya Patil, Naresh R. Shanbhag:
A Multi-Functional In-Memory Inference Processor Using a Standard 6T SRAM Array. IEEE J. Solid State Circuits 53(2): 642-655 (2018) - [j7]Mingu Kang, Sujan K. Gonugondla, Sungmin Lim, Naresh R. Shanbhag:
A 19.4-nJ/Decision, 364-K Decisions/s, In-Memory Random Forest Multi-Class Inference Accelerator. IEEE J. Solid State Circuits 53(7): 2126-2135 (2018) - [j6]Sujan K. Gonugondla, Mingu Kang, Naresh R. Shanbhag:
A Variation-Tolerant In-Memory Machine Learning Classifier via On-Chip Training. IEEE J. Solid State Circuits 53(11): 3163-3173 (2018) - [j5]Yongjune Kim, Mingu Kang, Lav R. Varshney, Naresh R. Shanbhag:
Generalized Water-Filling for Source-Aware Energy-Efficient SRAMs. IEEE Trans. Commun. 66(10): 4826-4841 (2018) - [c9]Prakalp Srivastava, Mingu Kang, Sujan K. Gonugondla, Sungmin Lim, Jungwook Choi, Vikram S. Adve, Nam Sung Kim, Naresh R. Shanbhag:
PROMISE: An End-to-End Design of a Programmable Mixed-Signal Accelerator for Machine-Learning Algorithms. ISCA 2018: 43-56 - [c8]Sujan K. Gonugondla, Mingu Kang, Yongjune Kim, Mark Helm, Sean Eilert, Naresh R. Shanbhag:
Energy-Efficient Deep In-memory Architecture for NAND Flash Memories. ISCAS 2018: 1-5 - [c7]Yongjune Kim, Mingu Kang, Lav R. Varshney, Naresh R. Shanbhag:
SRAM Bit-line Swings Optimization using Generalized Waterfilling. ISIT 2018: 1670-1674 - [c6]Sujan Kumar Gonugondla, Mingu Kang, Naresh R. Shanbhag:
A 42pJ/decision 3.12TOPS/W robust in-memory machine learning classifier with on-chip training. ISSCC 2018: 490-492 - [c5]Mingu Kang, Ramon Zamora:
Optimal Placement and Sizing of DG and Shunt Capacitor for Power Loss Minimization in an Islanded Distribution System. SmartGIFT 2018: 43-52 - 2017
- [b1]Mingu Kang:
Deep in-memory computing. University of Illinois Urbana-Champaign, USA, 2017 - [c4]Mingu Kang, Sujan K. Gonugondla, Naresh R. Shanbhag:
A 19.4 nJ/decision 364K decisions/s in-memory random forest classifier in 6T SRAM array. ESSCIRC 2017: 263-266 - [i3]Yongjune Kim, Mingu Kang, Lav R. Varshney, Naresh R. Shanbhag:
Generalized Water-filling for Source-Aware Energy-Efficient SRAMs. CoRR abs/1710.07153 (2017) - 2016
- [j4]Mingu Kang, Naresh R. Shanbhag:
In-Memory Computing Architectures for Sparse Distributed Memory. IEEE Trans. Biomed. Circuits Syst. 10(4): 855-863 (2016) - [i2]Sai Zhang, Mingu Kang, Charbel Sakr, Naresh R. Shanbhag:
Reducing the Energy Cost of Inference via In-sensor Information Processing. CoRR abs/1607.00667 (2016) - [i1]Mingu Kang, Sujan K. Gonugondla, Ameya Patil, Naresh R. Shanbhag:
A 481pJ/decision 3.4M decision/s Multifunctional Deep In-memory Inference Processor using Standard 6T SRAM Array. CoRR abs/1610.07501 (2016) - 2015
- [c3]Mingu Kang, Taewan Kim, Youngjae Kim, Junghwan Ahn:
FamCom: A Communication Service Enhancing Conversation Quality Between Elders Residing in Care Hospital and Their Family Member. CHI Extended Abstracts 2015: 13-18 - [c2]Mingu Kang, Sujan K. Gonugondla, Min-Sun Keel, Naresh R. Shanbhag:
An energy-efficient memory-based high-throughput VLSI architecture for convolutional networks. ICASSP 2015: 1037-1041 - [c1]Mingu Kang, Eric P. Kim, Min-Sun Keel, Naresh R. Shanbhag:
Energy-efficient and high throughput sparse distributed memory architecture. ISCAS 2015: 2505-2508 - 2013
- [j3]Mingu Kang, Jisu Kim, Younghwi Yang, Seong-Ook Jung:
Dynamic mixed serial-parallel content addressable memory (DMSP CAM). Int. J. Circuit Theory Appl. 41(7): 721-731 (2013) - 2012
- [j2]Mingu Kang, Ilgu Yun:
Experimental observation of gate geometry dependent characteristic degradations of the multi-finger MOSFETs. Microelectron. Reliab. 52(9-10): 1936-1939 (2012)
2000 – 2009
- 2009
- [j1]Mingu Kang, Seong-Ook Jung:
Serial-Parallel Content Addressable Memory with a Conditional Driver (SPCwCD). IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 92-A(1): 318-321 (2009)
Coauthor Index
Sujan K. Gonugondla
aka: Sujan Kumar Gonugondla
aka: Sujan Kumar Gonugondla
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